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Binary Level Set Method for Topology Optimization of Variational Inequalities

机译:变分不等式拓扑优化的二进制水平集方法

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The paper is concerned with the topology optimization of the elliptic variational inequalities using the level set approach. The standard level set method is based on the description of the domain boundary as an isocountour of a scalar function of a higher dimensionality. The evolution of this boundary is governed by Hamilton-Jacobi equation. In the paper a binary level set method is used to represent sub-domains rather than the standard method. The binary level set function takes at convergence value 1 in each sub domain of a whole design domain and -1 outside this sub domain. The sub domains interfaces are represented by discontinuities of these functions. Using a two-phase approximation and a binary level set approach the original structural optimization problem is reformulated as an equivalent constrained optimization problem in terms of this level set function. Necessary optimality condition is formulated. Numerical examples are provided and discussed.
机译:本文涉及使用水平集方法的椭圆变分不等式的拓扑优化。标准水平集方法基于对域边界的描述,该域边界是高维标量函数的等值线。该边界的演化由汉密尔顿-雅各比方程控制。在本文中,二进制级别集方法用于表示子域,而不是标准方法。二进制级别集函数在整个设计域的每个子域中的收敛值为1,在该子域之外的值为-1。子域接口由这些功能的不连续性表示。使用两阶段逼近和二进制水平集方法,就该水平集函数而言,将原始结构优化问题重新公式化为等效约束优化问题。制定了必要的最优条件。提供了数值示例并进行了讨论。

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